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Mamba GPT 3B by CobraMamba

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  Autotrain compatible   En   Gpt   Llama   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/CobraMamba/mamba-gpt-3b 

Mamba GPT 3B Benchmarks

ARC: 40.53 vs 96.7 (so35)-58.1%
HellaSwag: 64.94 vs 95.3 (gpt4)-31.9%
MMLU: 25.35 vs 88.3 (so35)-71.3%
TruthfulQA: 37.14 vs 59 (gpt4)-37.1%
WinoGrande: 65.04 vs 87.5 (gpt4)-25.7%
GSM8K: 0.23 vs 96.4 (so35)-99.8%
LLME Score: 0.14509
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mamba GPT 3B (CobraMamba/mamba-gpt-3b)
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Mamba GPT 3B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
General tasks using NLP
Limitations:
Potential biases and inappropriate content, Susceptibility to data contamination
Considerations:
Users are encouraged to evaluate and use content responsibly.
Additional Notes 
The model is noted for being the best-performing 3B model surpassing open-lama model in subtasks.
Training Details 
Data Sources:
OpenLLaMA, GPT-J
Methodology:
Fine-tuning on open-lama model
Model Architecture:
LlamaForCausalLM with attention and MLP layers
Responsible Ai Considerations 
Fairness:
Biases may exist due to training data from internet text.
Input Output 
Input Format:
<|prompt|>TEXT~~<|answer|>
Accepted Modalities:
text
Output Format:
TEXT
LLM NameMamba GPT 3B
Repository 🤗https://huggingface.co/CobraMamba/mamba-gpt-3b 
Model Size3b
Required VRAM6.8 GB
Updated2025-09-23
MaintainerCobraMamba
Model Typellama
Model Files  6.8 GB   6.8 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than CobraMamba/mamba-gpt-3b.

Rank the Mamba GPT 3B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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